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Dr. Yanjie Fu (yanjiefu.com) is an associate professor in the School of Computing and AI at the Arizona State University. He received his Ph.D. degree from the Rutgers, the State University of New Jersey in 2016, the B.E. degree from the University of Science and Technology of China in 2008, and the M.E. degree from the Chinese Academy of Sciences in 2011. He has research experience in industry research labs, such as Microsoft Research Asia and IBM Thomas J. Watson Research Center. He has published prolifically in refereed journals and conference proceedings, such as IEEE TKDE, IEEE TMC, ACM TKDD, ACM SIGKDD, AAAI, IJCAI, VLDB, WWW, ACM SIGIR. His research has been recognized by: 1) three junior faculty awards: US NAE Grainger Foundation Frontiers of Engineering early career engineer (2023), US NSF CAREER (2021), and US NSF CRII (2018) awards; 2) several best paper (runner-up, finalist) awards (e.g., KDD18 best finalist, SIGSpatial20 best runner-up); 3) several community and industrial recognitions: 2024 Stanford Elsevier World’s Top 2% Scientists, 2022 Baidu Scholar global top Chinese young scholars in AI, 2021 Aminer.org AI 2000 Most Influential Scholar Award Honorable Mention in Data Mining, 2016 Microsoft Azure Research Award; 4) several university-level awards: Reach the Stars Award, University System Research Board Award, and University Interdisciplinary Research Award. He is committed to data science education. His graduated Ph.D. students have joined academia as tenure-track faculty members. He is broadly interested in data mining, machine learning, and their interdisciplinary applications. His research aims to develop robust machine intelligence with imperfect and complex data by building tools to address framework, algorithmic, data, and computing challenges. His recent focuses are machine learning with geospatial, time series data, data-centric AI (AI4data), AI for simulation and decisions, multimodal AI and foundation models (representation alignment, selfsupervised pretraining, task-optimal finetuning), LLM (routing, teaming, reasoning). He currently serves as an Associate Editor of ACM Transactions on Knowledge Discovery from Data. He is a senior member of ACM and IEEE.
申请方式:The School of Computing and AI is hosting Computer Science, Data Science, Computer Engineering, doctoral programs。你可以选择CS,DS,或者CE。申请网址见:https://scai.engineering.asu.edu/graduate/
About ASU:
排名:根据 US News (https://engineering.asu.edu/rankings/), ASU 排全美 “最具创新学校”第 1 位 (2022)。 亚利桑那州立大学是著名的美国大学协会 (AAU) 的一员,AAU是一个公认的世界一流大学联盟。ASU is a Carnegie Research I (R1) university. ASU is ranked #1 for innovation, #25 in Computer Engineering (Undergraduate), #33 in Computer Engineering(18 among public universities), 39 in Computer Science, #19 in AI(CS Speciality), #18 in Cybersecurity(CS Speciality),#12 in Industrial Engineering according to US News 2025 (#13 among public universities), and is ranked #42 according to 2025 CSRankings.ORG, and ranked #27 according to Research.COM. ASU的计算机科学, 电子工程等学科领域在世界范围内享有极佳的学术声誉,其众多毕业生已在全美各大研究型大学担任教职。
地理位置:ASU坐落在亚利桑那州凤凰城(Phoenix)。凤凰城是美国第5大城市,是美国亚利桑那州的州府及州内最大城市,是2023超级碗举行地,也是各大金融机构地区总部所在地,有众多中餐馆和亚洲超市。其超级都会区包括 Scottsdale, Tempe, Glendale, Peoria, Chandler, and Gilbert,共有人口430万。凤凰城天港国际机场名列美国第八与全球第二十六位繁忙机场,是全美国航空、西南航空的枢杻机场,也是美国西南地区重要航空枢纽之一。近年来,半导体和IT产业在亚利桑那州迅猛发展, 摩托罗拉,谷歌,IBM,苹果, 英特尔, 亚马逊, Intel, 三星, 台积电, NXP, On Semiconductor, Microchip, Analog Devices等进驻凤凰城。这里拥有七支职业运动团队:NFL美国职业橄榄球联盟球队——亚利桑那红雀队(ArizonaCardinals), NBA美国职业篮球联赛球队——凤凰城太阳队(PhoenixSuns), MLB美国职业棒球大联盟球队——亚利桑那响尾蛇队(ArizonaDiamondbacks), NHL 美国国家冰球联盟球队——亚利桑那野狼队(ArizonaCoyotes), WNBA美国国家女子篮球联盟球队——凤凰城水星队(PhoenixMercury), 美国室内足球联盟球队——亚利桑那响尾蛇队(ArizonaRattlers), 美国足球冠军联盟球队——菲尼克斯崛起俱乐部(又称凤凰鸣扬俱乐部). 凤凰城周围拥有三座国家级公园,包括被视为世界七大奇迹之一的大峡谷国家公园。
补充内容 (2025-04-25 05:12 +08:00):
请大家把CV和成绩单发送至: yanjie.fu@asu.edu 。确认合适后再提交申请 :D. |